blackbox-ai | Powerful-Alternative to Github-Copilot | Code 10X Faster 🔥
TLDRBlackbox AI, a free and powerful alternative to GitHub Copilot, is gaining popularity with over 2.4 million downloads of its VS Code extension. It assists developers, data scientists, and engineers to code 10x faster. The tool offers autocomplete suggestions, image analysis, and a variety of AI agents for different programming languages and frameworks. It also supports executing complex workflows, like interacting with APIs and handling datasets, showcasing its versatility and efficiency.
Takeaways
- 🔥 Blackbox AI is a powerful alternative to GitHub Copilot that can help code 10x faster.
- 🆓 The VS Code extension for Blackbox AI is free and has been downloaded over 2.4 million times.
- 👨💻 It's widely used by front-end, back-end engineers, data scientists, and machine learning engineers.
- 💻 The true power of Blackbox is unleashed when installed as an extension in VS Code.
- 🔍 Blackbox can analyze image inputs, such as code screenshots or product sketches, to provide relevant information.
- 📝 It can generate code explanations and even React components based on image inputs.
- 📚 There's a variety of 'agents' available for different programming languages and frameworks.
- 📊 Blackbox can handle complex workflows, such as processing a dataset from Hugging Face and using it with the Together AI API.
- 🛠️ It provides a CLI for command-line interface control, enhancing the flexibility for developers.
- 🔗 Blackbox can be integrated with specialized areas like TensorFlow or PyTorch through specific agents.
- 📑 The tool can execute code directly, allowing for practical implementation of the generated solutions.
Q & A
What is Blackbox AI and how does it compare to GitHub Copilot?
-Blackbox AI is a powerful alternative to GitHub Copilot that allows users to code 10x faster. It offers a VS Code extension that is almost as good as GitHub Copilot's, but it's free and has over 2.4 million downloads.
Who are the typical users of Blackbox AI's VS Code extension?
-The VS Code extension of Blackbox AI is used by millions of front-end, back-end engineers, data scientists, and machine learning engineers to speed up their workflow.
How does Blackbox AI assist in writing a method for a neural network?
-Blackbox AI provides a sidebar in chat mode where it compiles information from various sources to generate correct and executable code for creating a neural network from scratch.
What is Blackbox Vision and how does it work?
-Blackbox Vision allows users to instruct Blackbox to analyze image inputs such as screenshots of code or product sketches. Users can upload or drag and drop an image and ask questions about it, and Blackbox will generate an answer.
Can Blackbox AI generate code based on a web page design?
-Yes, Blackbox AI can analyze a design of a web page and provide the relevant code. For example, it can generate HTML code for a sidebar based on an uploaded image of the design.
What is the purpose of the Agents tab in Blackbox AI?
-The Agents tab in Blackbox AI provides a plethora of AI agents specializing in various areas such as Python, HTML, Java, and PDF. Users can ask specific questions in these areas to get expert assistance.
How does Blackbox AI handle a complex workflow involving a dataset and an API?
-Blackbox AI can read a dataset from a source like Hugging Face, send data to an API like Together AI, and save the output locally. It can handle complex workflows with code that can be executed after providing necessary API keys.
What is the Command Line Interface (CLI) feature of Blackbox AI and how is it installed?
-Blackbox AI has a CLI for terminal control. It can be installed by exploring to the terminal, searching for the Blackbox AI site, and running the provided installation command.
Can Blackbox AI assist with specific programming libraries such as PyTorch?
-Yes, Blackbox AI has an agent specialized in PyTorch. Users can ask specific questions about PyTorch, and the agent will provide detailed explanations and examples.
How does Blackbox AI help in executing and editing code?
-Blackbox AI allows users to execute code directly through its interface and edit any part of the code by clicking on the edit icon. It also offers a full-screen mode for better code viewing.
Outlines
💻 Discovering Coding Blackbox
The speaker is highly impressed with the Coding Blackbox, a tool that assists in coding, particularly its Visual Studio Code (VS Code) extension. They compare it favorably to GitHub Copilot but highlight that Blackbox is free and has been downloaded over 2.4 million times. It's popular among various engineers and scientists to accelerate their workflow and code production. The speaker demonstrates how Blackbox can generate code snippets by asking it to write a method for a neural network from scratch. The tool pulls information from various sources and provides a correct implementation. They also mention Blackbox Vision, which can analyze images for code or product sketches. The speaker tests this feature by uploading a code image and receiving an explanation, then asks for HTML code for a sidebar design and receives a valid HTML snippet. They also inquire about a React component for the sidebar and receive a functional React component in return. The speaker explores the variety of 'agents' available for different programming languages and tasks. They conclude by testing Blackbox with a longer workflow involving the Hugging Face dataset and the Together AI API, successfully automating the process of reading questions, sending them to the API, and saving the responses locally.
🔧 Automating Tasks with Blackbox AI
The speaker continues to explore the capabilities of Blackbox AI by automating tasks. They instruct Blackbox to read a dataset from Hugging Face, send questions to the Together AI API using a specified model, and save the outputs locally. The process is demonstrated with a code snippet that includes API calls and file saving. The speaker then modifies the task to use a different model and provides their API key for execution. They also show how to edit and execute the generated code directly within the Blackbox interface. The speaker praises the tool's ability to handle complex workflows and mentions the availability of a command-line interface (CLI) for terminal control. They conclude by discussing the availability of specialized agents within Blackbox for various programming tasks, such as PyTorch, and demonstrate how to get help on specific functions like 'gather' in PyTorch.
Mindmap
Keywords
💡Blackbox AI
💡VS Code Extension
💡Neural Network
💡Autocomplete
💡Blackbox Vision
💡Hugging Face Dataset
💡Together AI API
💡CLI
💡Agents
💡PyTorch
Highlights
Blackbox AI is a powerful alternative to GitHub Copilot for faster coding.
The VS Code extension of Blackbox AI is almost as good as GitHub Copilot and is free.
Blackbox AI has been downloaded over 2.4 million times.
It's used by millions of engineers and data scientists to speed up their workflow.
The true power of Blackbox AI comes when installed as an extension in VS Code.
Blackbox AI can create a method to implement a neural network from scratch.
It provides a sidebar for chat mode and starts generating code immediately after a question is asked.
The generated code includes a sigmoid function and ReLU function implementations.
It also includes methods for forward and backward propagation in a neural network.
Blackbox Vision allows users to analyze image inputs like code screenshots or product sketches.
It can generate explanations for code images uploaded by the user.
Blackbox AI can also provide HTML code for a web page design.
It can create a React component based on a sidebar design.
There are numerous agents available for various programming languages and frameworks.
Blackbox AI can handle complex workflows involving datasets and APIs.
It can read a dataset from Hugging Face, send it to a Together AI API, and save the output locally.
The generated code can be executed with the user's Together AI API key.
Blackbox AI has a CLI for command-line interface control.
It supports specialized areas like deep learning with TensorFlow or PyTorch.
It can explain specific methods in PyTorch, such as the gather method.